How to Use the Attio MCP in Mastra AI

Build resilient Attio CRM workflows in Mastra AI with automatic retries and conditional branching for every record change.

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Connect Attio MCP to Mastra AI

Create your Vinkius account to connect Attio to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Attio with Mastra AI

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Automated CRM record lifecycle

Mastra AI agents use `create_record` and `delete_record` to manage your pipeline autonomously. If a network blip occurs, the workflow engine handles the retry logic automatically. Focus on the business logic rather than the plumbing. Your agent maintains the state across multiple steps, ensuring every deal or contact is processed correctly.

Complex data retrieval for agents

Query your CRM using `list_records` and `get_list_entries` to inform your Mastra AI decision tree. The agent gathers the context it needs before executing any branching logic. You can inspect the schema with `get_object` to ensure your agent understands the data structure. It makes informed decisions based on real-time CRM state.

Safe task and note automation

Deploy `create_task` or `create_note` within your Mastra AI agent workflows. These actions execute based on your defined triggers, creating a hands-off CRM experience. Use tool approval if you want a human in the loop. The agent proposes the update, and you confirm it before it hits your Attio instance.

Setup guide

Set up Attio MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Attio tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "attio-alternative-mcp-client",
  servers: {
    "attio-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Attio Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Attio tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Attio transactions"
);
console.log(result.text);

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Common questions about Attio MCP in Mastra AI

Import the MCP client into your Mastra AI project and define the server URL. Your agents will automatically detect and list the available tools.

It does. You can configure Mastra AI to require manual confirmation before executing any tool that modifies your Attio data.

Absolutely. You can chain these tools together to build complex, multi-step sequences that read from and write to your CRM automatically.

Mastra AI uses built-in retry logic. If a request to the CRM fails, the engine attempts the operation again according to your specified backoff policy.

All traffic is encrypted in transit and processed within a secure V8 isolate. Your CRM data, including notes and contact details, is never persisted by the server.

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